kkaww — CS2 Stats
76561198125099457[U:1:164833729]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 82% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Flashes. 0.85 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 59 | 29–30 | 49% | -0.02 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| S | 7 | 5–2 | 71% | -0.00 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 3 | 33% | 0.62 | 9.0 |
| Nuke | 1 | 100% | 1.24 | 21.0 |
| Inferno | 1 | 0% | 0.53 | 8.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.084% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 21% | 2 Jun → | ||
| 7–13 | -0.04 | 29% | 2 Jun → | ||
| 13–0 | 0.02 | 13% | 2 Jun → | ||
| 13–7 | -0.01 | 27% | 2 Jun → | ||
| 5–13 | -0.03 | 11% | 25 May → | ||
| 13–5 | -0.00 | 15% | 24 May → | ||
| 13–4 | -0.12 | 19% | 23 May → | ||
| 13–8 | -0.01 | 18% | 20 May → | ||
| 2–13 | 0.03 | 19% | 20 May → | ||
| 9–13 | 0.02 | 14% | 19 May → | ||
| 4–13 | 0.06 | 28% | 19 May → | ||
| 13–7 | 0.07 | 35% | 19 May → | ||
| 13–11 | -0.08 | 18% | 19 May → | ||
| 9–13 | 0.01 | 40% | 19 May → | ||
| 13–9 | -0.04 | 13% | 19 May → | ||
| 13–7 | -0.03 | 21% | 19 May → | ||
| 12–12 | -0.00 | 18% | 19 May → | ||
| 13–7 | -0.03 | 9% | 19 May → | ||
| 3–13 | -0.04 | 17% | 19 May → | ||
| 5–13 | -0.04 | 18% | 19 May → | ||
| 13–6 | -0.01 | 24% | 19 May → | ||
| 13–6 | 0.06 | 28% | 19 May → | ||
| 8–13 | -0.04 | 14% | 19 May → | ||
| 10–13 | -0.01 | 13% | 19 May → | ||
| 7–0 | 0.01 | 30% | 19 May → | ||
| 5–13 | -0.03 | 15% | 19 May → | ||
| 8–1 | 0.23 | 12% | 19 May → | ||
| 13–10 | -0.04 | 20% | 19 May → | ||
| 15–15 | -0.05 | 13% | 18 May → | ||
| 13–5 | 0.05 | 28% | 18 May → | ||
| 13–9 | 0.01 | 27% | 18 May → | ||
| 13–5 | -0.01 | 23% | 18 May → | ||
| 3–13 | -0.01 | 11% | 18 May → | ||
| 5–13 | 0.03 | 23% | 18 May → | ||
| 13–3 | 0.07 | 22% | 18 May → | ||
| 10–13 | -0.01 | 21% | 18 May → | ||
| 13–6 | 0.06 | 28% | 18 May → | ||
| 12–0 | 0.01 | 32% | 18 May → | ||
| 13–5 | -0.04 | 12% | 17 May → | ||
| 11–13 | -0.02 | 24% | 17 May → | ||
| 11–13 | -0.07 | 6% | 16 May → | ||
| 9–13 | -0.06 | 18% | 16 May → | ||
| 13–8 | 0.09 | 15% | 16 May → | ||
| 9–13 | 0.02 | 16% | 16 May → | ||
| 12–12 | -0.03 | 24% | 13 May → | ||
| 8–13 | -0.06 | 22% | 13 May → | ||
| 11–13 | -0.07 | 10% | 13 May → | ||
| 11–13 | -0.00 | 14% | 13 May → | ||
| 9–13 | -0.06 | 22% | 13 May → | ||
| 13–6 | -0.03 | 30% | 13 May → | ||
| 13–2 | -0.01 | 20% | 13 May → | ||
| 13–11 | -0.04 | 19% | 5 May → | ||
| 13–10 | -0.03 | 21% | 5 May → | ||
| 1–1 | 0.10 | 33% | 5 May → | ||
| 6–13 | -0.02 | 29% | 3 May → | ||
| 13–9 | -0.03 | 39% | 3 May → | ||
| 3–13 | -0.08 | 23% | 3 May → | ||
| 6–13 | -0.01 | 29% | 3 May → | ||
| 7–11 | -0.03 | 29% | 3 May → | ||
| 13–7 | -0.06 | 21% | 3 May → | ||
| 13–9 | -0.04 | 17% | 3 May → | ||
| 10–13 | -0.05 | 28% | 3 May → | ||
| 13–8 | -0.02 | 26% | 3 May → | ||
| 13–3 | 0.11 | 34% | 2 May → | ||
| 13–9 | 0.05 | 24% | 2 May → | ||
| 13–9 | -0.04 | 20% | 2 May → | ||
| 9–13 | -0.08 | 24% | 2 May → | ||
| 13–8 | 0.00 | 15% | 2 May → | ||
| 6–1 | -0.02 | 33% | 2 May → | ||
| 13–2 | -0.01 | 26% | 2 May → | ||
| 13–5 | 0.00 | 15% | 2 May → | ||
| 6–13 | 0.01 | 12% | 2 May → | ||
| 13–9 | -0.03 | 36% | 2 May → | ||
| 12–12 | -0.08 | 19% | 2 May → | ||
| 11–13 | -0.00 | 26% | 2 May → | ||
| 7–13 | -0.01 | 18% | 2 May → | ||
| 0–13 | -0.01 | 20% | 2 May → | ||
| 13–4 | 0.03 | 19% | 2 May → | ||
| 13–1 | 0.05 | 12% | 1 May → | ||
| 6–13 | 0.06 | 15% | 30 Apr → | ||
| 13–9 | -0.02 | 37% | 30 Apr → | ||
| 13–8 | -0.09 | 25% | 30 Apr → | ||
| 8–13 | -0.10 | 16% | 30 Apr → | ||
| 12–12 | -0.06 | 23% | 30 Apr → | ||
| 13–5 | -0.02 | 31% | 30 Apr → | ||
| 13–4 | 0.07 | 17% | 30 Apr → | ||
| 9–13 | -0.02 | 36% | 30 Apr → | ||
| 10–13 | 0.02 | 13% | 30 Apr → | ||
| 13–4 | 0.02 | 58% | 29 Apr → | ||
| 13–8 | -0.01 | 40% | 29 Apr → | ||
| 13–2 | -0.03 | 15% | 29 Apr → | ||
| 13–11 | -0.10 | 7% | 29 Apr → | ||
| 13–4 | -0.03 | 19% | 29 Apr → | ||
| 12–12 | -0.11 | 16% | 29 Apr → | ||
| 2–13 | -0.06 | 37% | 17 Nov → | ||
| 5–13 | -0.09 | 22% | 17 Nov → | ||
| 11–13 | -0.02 | 21% | 14 Nov → | ||
| 12–12 | -0.06 | 14% | 1 Nov → | ||
| 11–13 | -0.09 | 20% | 1 Nov → | ||
| 3–13 | -0.09 | 20% | 1 Nov → |
Match data via Leetify.